E, N., Chu, X. and Zhang, J. (2016) Small-cell deployment over existing heterogeneous networks. Electronics Letters, 52 (3). pp. 241-243. ISSN 0013-5194
Abstract
To meet the extra traffic demand of hot-spot (HS) users not expected in the original network planning, it is desirable to deploy new small cells on top of the existing heterogeneous network (HetNet) without replanning the overall network. It is proposed to maximise the minimum user throughput in a HetNet with unexpected recurring HSs by jointly optimising the number and locations of new small cells and user associations of all cells. A reduced-complexity iterative algorithm is devised to solve the joint optimisation problem. The simulation results show that the proposed iterative algorithm significantly outperforms the random deployment of new small cells and achieves performance very close to numerically solving the joint optimisation in terms of minimum user throughput and required number of new small cells, especially for a large number of unexpected HS users.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Institution of Engineering and Technology (IET). This is an author produced version of a paper subsequently published in Electronics Letters. Uploaded in accordance with the publisher's self-archiving policy |
Keywords: | small-cell deployment; minimum user throughput; heterogeneous network; HetNet; hot-spot users; user associations; reduced-complexity iterative algorithm; joint optimisation problem |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Nov 2015 15:37 |
Last Modified: | 10 Mar 2016 13:21 |
Published Version: | http://dx.doi.org/10.1049/el.2015.2405 |
Status: | Published |
Publisher: | Institution of Engineering and Technology (IET) |
Refereed: | Yes |
Identification Number: | 10.1049/el.2015.2405 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:92003 |